Thomson Licensing

Interdigital Ce Patent Holdings

State Grid Corporation of China

Beijing Nmc Co., Ltd.

State Grid Digital Technology Holding Co., Ltd.

State Grid Blockchain Technology (beijing) Co., Ltd.

Jiangxi Power Exchange Center Co., Ltd.

Beijing Power Exchange Center Co., Ltd.

Liaoning Power Exchange Center Co., Ltd.

East Inner Mongolia Power Exchange Center Company Ltd.

Thomson Licensing Dtv

Kai Xie

Zhibo Chen

Ning Liao

Ying Li

Jun Li

Fan Zhang

Xiao Dong Gu

Yun Tao Shi

Si Nan Shangguan

Edouard Francois

Zhuo Chen

Dong Wang

Jiefu Zhai

Nan Zhang

Purvin Bibhas Pandit

Liang Zhao

Zhe Zhang

Wenfei Jiang

Xian Wei Zhang

Xiaodong Gu

Da Li

Tong Xing

Jiaxing Xuan

Lihua Zhao

Guomin Li

Chao Yang

Liqiong Hu

Fan Jia

Desheng Bai

Hejian Wang

Zhan Su

Chen Ying

Kui Gao

Yonghui Liu

Shengnan Zhang

Shijie Ji

Wen Xie

Jingli Feng

Shengzhi Lu

Hexiao Liang

Tian Sun

Xin Li

Haiqing Jia

Gang Chen

Kun Fan

Qingchun Li

Xian Xie

The present disclosure provides a blockchain-based green power certification method, apparatus, and system, to pre-process obtained basic data to obtain proof-of-existence data, certify the proof-of-existence data from a production side and a consumption side by using a certification chain and a token chain respectively, and obtain a green power attribute certificate and a green power consumption label if the certification is passed; generate a unique digital identifier for the green power attribute certificate and the green power consumption label separately based on a non-fungible token (NFT), which realizes non-interchangeability, indivisibility, and other characteristics of the certificate and the identifier; and supervise and verify a certification process by using a chain of custody, and generate a corresponding unique blockchain identifier for the certification chain, the token chain, and the chain of custody separately through multi-chain interaction, so as to realize data interaction between blockchains.

Blockchain-based green power certification method, apparatus, and system

To estimate content complexity of a video, energy of prediction residuals is calculated. The prediction residuals are usually smaller when the video is less complex and more predictable. Scales of prediction residuals also depend on encoding configurations, for example, I pictures usually have larger prediction residuals than P and B pictures even when the contents are very similar and thus have similar perceived content complexity. To more closely reflect the content complexity, alignment scaling factors are estimated for different encoding configurations. Based on the energy of prediction residuals and alignment scaling factors, an overall content unpredictability parameter can be estimated to compute a compression distortion factor for the video. The compression distortion factor, combined with slicing and freezing distortion factors, can be used to estimate a video quality metric for the video.

Method and apparatus for video quality assessment based on content complexity

A particular implementation receives a bitstream and derives parameters from the bitstream. The parameters include quantization parameters, content unpredictability parameters, ratios of lost blocks, ratios of propagated blocks, error concealment distances, motion vectors, durations of freezing, and frame rates. Using these parameters, a compression distortion factor, a slicing distortion factor, and a freezing distortion factor are estimated respectively for distortions resulting from video compression, a slicing mode error concealment, and a freezing slicing mode error concealment. The distortion factors are then mapped to a composite video quality score. For applications with limited computational power, the estimation of distortion factors can be simplified. In particular, the compression distortion factor, the slicing distortion factor, and the freezing distortion factor can be predicted from quantization parameters, ratios of lost blocks, and durations of freezing, respectively.

Video quality measurement

Accuracy and efficiency of video quality measurement are major problems to be solved. According to the invention, a method for accurately predicting video quality uses a rational function of the quantization parameter QP, which is corrected by a correction function that depends on content unpredictability CU. Exemplarily, the correction function is a power function of the CU. Both QP and CU can be computed from the video elementary stream, without full decoding the video. This ensures high efficiency.

Method and apparatus for video quality measurement

A macroblock in a video sequence may be undecodable because the corresponding compressed data is lost or the syntax is out of synchronization. An undecodable macroblock may be concealed using error concealment technique. The level of initial visible artifacts caused by undecodable macroblocks may be estimated as a function of motion magnitude, error concealment distance, and/or residual energy. The initial visible artifacts may propagate spatially or temporally to other macroblocks through prediction. Considering both initial visible artifacts and propagated artifacts, levels of overall artifacts may be estimated for individual macroblocks. The visual quality for the video sequence can then be estimated by pooling the macroblock level artifact levels.

Video quality assessment at a bitstream level

The invention provides a method and apparatus for detecting a gradual transition picture in a bitstream. The method comprises: accessing a bitstream including encoded pictures; and determining a gradual transition picture in the bitstream using information from the bitstream without decoding the bitstream to derive pixel information.

Method and apparatus for detecting gradual transition picture in video bitstream

A particular implementation decomposes an image into a structure component and a texture component. An edge strength map is calculated for the structure component, and a texture strength map is calculated for the texture component. Using the edge strength and the texture strength, texture masking weights are calculated. The stronger the texture strength is, or the weaker the edge strength is, the more distortion can be tolerated by human eyes, and thus, the smaller the texture masking weight is. The local distortions are then weighted by the texture masking weights to generate an overall distortion level or an overall quality metric.

Texture masking for video quality measurement

A method for estimating video quality on bit-stream level, wherein the video quality refers to a video after error concealment and the method is performed on bit-stream level before said error concealment, comprises extracting and/or calculating a plurality of global condition features from a video bit-stream, extracting and/or calculating a plurality of local effectiveness features at least for a lost MB, calculating a numeric error concealment effectiveness level for each (or at least for each lost) MB by emulating an error concealment method that is used in said error concealment, and providing the calculated error concealment effectiveness level as an estimated visible artifacts level of video quality.

Method and device for estimating video quality on bitstream level

Various implementations address distortion and quality measurements related to, for example, freeze-with-skip and/or a freeze-without-skip events. In several implementations, information is accessed indicating that a first and second set of one or more consecutive pictures are not to be displayed. A first and second indicator are determined. In one such implementation, the first and second indicators indicate an amount of distortion across one or more types of distortive effects that result from displaying substantially a first, or second, same picture during a display time for the first, or second, set of pictures. The first and second indicators are combined in a non-linear manner. In another such implementation, the distortion is associated with a given type of distortive effect, from among multiple types of distortive effects, and the first and second indicators are combined for the given type of distortive effect.

Distortion/quality measurement

A user terminal device, a server device, a system and a method for assessing quality of media data are described. The user terminal device is used for extracting artifact features from the media data and for communicating the features to the server device which is then used for determining a quality score using the artifacts and an artifact/quality score database accessible by the server device. The score, transmitted to the user terminal device, is presented to a user from which a subjective quality score and a request for re-determination are received which the user terminal device communicates to the server device. This in turn is used for re-determining the quality score and for transmitting back the re-determined quality score wherein the quality score is re-determined using the received artifacts, the received subjective quality score and the artifact/quality score database.

User terminal device, server device, system and method for assessing quality of media data

In video coding, prediction of P- and B-frames is based on reference frames, which are indicated by reference picture lists. Scalable video coding (SVC) requires this for both, base-layer and enhancement-layer. The invention describes a decoding process for reference picture list construction for spatial enhancement layer. With just one flag of syntax modification, it provides simpler and direct reference lists construction process. By using this, complicated RPLR and other syntaxes can be skipped, and the RPLR process for spatial enhancement layer can also be avoided. The process also can be used as for error concealment when the spatial enhancement layer slice is lost.

Method and apparatus for constructing reference picture lists for scalable video

Scalable video coding based on H.264/AVC uses motion compensation, which results in motion vectors and residual pictures. To optimize the encoding of the residual pictures of the enhancement-layer, they can be predicted from the base-layer. This requires complex encoders and decoders. Simplified residual prediction techniques are provided that focus on reducing the encoding and decoding complexity of the spatial scalable enhancement-layer with optimized coding efficiency. The method for encoding video data containing high-pass frames and low-pass frames comprises the steps of encoding the low-pass frames, wherein residual prediction may be used, splitting the high-pass frames into two interleaving frame groups, encoding the frames of the first of said frame groups, wherein residual prediction may be used, and encoding the frames of the second of the frame groups using an encoding method without residual prediction.

Method and apparatus for encoding video data, and method and apparatus for decoding video data

A method and apparatus are described for content delivery, including receiving content from a first network, moving into a coverage area of a second network, performing a handover, receiving content from the second network and dropping any duplicate content packets. Also described are a method and apparatus for content delivery including receiving content from a first network, performing a handover, receiving content from a second network, determining if any content is missing and requesting the missing content.

Access network handover for a mobile television system

A method and apparatus are described for performing a handover in a content delivery system, including performing the handover from a first network to a second network at a protocol layer determined based on whether a content stream identification file used by said first network is paired with a content stream identification file used by said second network. Also described are a method and apparatus for performing a handover in a content delivery system, including performing the handover from a first network to a second network at a protocol layer determined based on whether a same content stream identification file used by the first network is used by the second network. Further described are a method and apparatus for performing a handover in a content delivery system, including performing the handover from a first network to a second network at one of an application layer, a network layer and a media access control layer.

Packetized video data with a base-layer and at least one enhancement-layer organized in a GOP structure may contain packet loss errors. A method for detecting such errors includes the steps of reading header information relating to a layer, generating a scheme or selecting a predefined scheme according to the header information. The scheme can be made up of a display order number, and/or a number of reference frames and temporal level for the frames of the respective layer. The method can then extract from received video data frames the display order number, and/or the number of reference frames and temporal level parameters, and detect that one or more frames or packets are missing. The received parameters are compared with the parameters of expected frames according to the scheme and a missing packet or frame is determined by a mismatch between received and expected parameters.

Method and apparatus for packet loss detection and virtual packet generation at SVC decoders

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Beijing, China

Kai Xie